Pranshu Sharma

Software Engineer

Bengaluru, Karnataka, India1 yr 5 mos experience

Key Highlights

Expert in backend technologies with a focus on performance optimization.
Proven track record in delivering scalable full-stack solutions.
Strong collaboration skills demonstrated through diverse internships.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in performance optimization and full-stack development.

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Skills

Core Skills

JavaSqlC++Python (programming Language)Patent AnalysisPatent LitigationNode.jsMongodbApi DevelopmentComputer VisionInternet Of Things (iot)

Other Skills

AlgorithmsAmazon EC2AndroidBack-End Web DevelopmentCascading Style Sheets (CSS)Competitive ProgrammingData StructuresEDREndpoint SecurityExpress.jsHTML5Java Database Connectivity (JDBC)LinuxObject-Oriented Programming (OOP)Patent Portfolio Analysis

About

Pranshu is a dynamic and versatile software engineer specialising in backend technologies. With a strong foundation in data structures, algorithms, and databases, he designs and delivers robust, full-stack solutions that are both efficient and scalable. At CData Software, Pranshu rapidly pinpoints complex issues in JDBC/ODBC drivers and determines the optimal resolution path—whether that’s engineering, documentation, or partner escalation. Leveraging tools like Datadog, Fiddler, and DbVisualizer, he ensures high-quality connectivity with SQL Server Management Studio and a broad array of data sources, driving down mean time to resolution and elevating customer satisfaction. Prior to this, Pranshu completed a Software Engineering Internship at Riverbed Technology, contributing to the SteelHead RS product in the Acceleration Engineering department. There, he designed and implemented performance‑optimization solutions that significantly improved system speed, scalability, and reliability. Passionate about collaboration and continuous learning, he consistently delivers innovative solutions and is always eager to connect with forward‑thinking professionals to tackle challenging problems and drive impactful results.

Experience

Cdata software

Software Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · Hybrid

JavaSQLJava Database Connectivity (JDBC)TriageREST APIs

Riverbed technology

Software Engineer Intern

Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

Contributed to the SteelHead RS product, enhancing performance, scalability, and usability.
Authored and reviewed production-quality code for new features, bug fixes, and backend enhancements, created over 30+ meaningful PR's.
Gained hands-on experience with advanced storage and networking technologies.

C++LinuxPython (Programming Language)

Copperpod ip

Research Analyst

Jul 2024 – Aug 2024 · 1 mo · Mohali district, India · On-site

• Performed patent litigation research, developed claim charts, analysed portfolios, calculated damages, scouted targets, and conducted patent assessments to aid in strategic planning.

Patent AnalysisPatent Portfolio AnalysisPatent Litigation

Secureu

Software Engineer Intern

Jun 2024 – Jul 2024 · 1 mo · Remote

Contributed to the development and maintenance of NEBULA, an advanced Endpoint Detection and Response (EDR) tool.
Managed the backend system, focusing on licensing functionalities, utilising technologies like Node.js, Express, MongoDB, Redis, and AWS.
Developed and tested APIs for various backend functionalities, enhancing system robustness and performance.
Created and maintained technical documentation for NEBULA, ensuring clarity and comprehensiveness for future development.
Assisted in implementing chat features for agent-admin communication within the Nebula dashboard, enhancing user interaction and support capabilities.

Object-Oriented Programming (OOP)Back-End Web DevelopmentAPI DevelopmentData StructuresMongoDBTechnical Documentation+5

H&m innovance

Software Engineer Intern

Dec 2022 – Mar 2023 · 3 mos · Dharuhera, Haryana · On-site

Worked on an IoT-based real-time facial recognition project aimed at preventing shoplifting.
Developed and implemented facial recognition algorithms using Python, enhancing system accuracy and reliability.
Optimized system performance by fine-tuning algorithms and improving hardware-software interactions.

Data StructuresPython (Programming Language)Computer VisionInternet of Things (IoT)

Microsoft

Mentee @Microsoft Engage

May 2022 – Jun 2022 · 1 mo · Remote

Collaborated with a mentor to develop a face recognition attendance system as part of the program.
Implemented features such as Histogram of Oriented Gradients (HOG) for accurate feature extraction in facial recognition.
Enhanced skills in collaborative problem-solving, working closely with a mentor to refine and optimize solutions.

Python (Programming Language)Computer Vision